本文關鍵詞：抗干擾天線中空時自適應算法的研究　出處：《電子科技大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 空時自適應 波束形成 穩(wěn)健算法 強干擾

【摘要】：近年來,隨著科學技術的不斷發(fā)展,自適應陣列系統(tǒng)對于寬帶信號的處理越來越頻繁。相比于窄帶信號的處理,寬帶信號的處理更為復雜,由于寬帶信號需要占用一定的頻帶寬度,為了在整個處理帶寬內形成一致的波束形狀,就需要更多的自由度來對波束進行調整。對寬帶信號的處理一般分為兩種方式,一種是空時自適應處理,它在空間域的基礎上增加了一個時域的處理,對來自空間不同方位的信號進行空域和時域的聯(lián)合處理;還有一種是基于頻率的并行處理,它將入射的寬帶信號進行傅里葉變換,在頻域上提取信號各頻點的數(shù)據(jù),并行的對各個頻點進行單獨的處理。本文從陣列信號處理的信號模型和處理模型出發(fā),基于窄帶波束形成與寬帶波束形成結論的一致性,首先從經典的窄帶最小方差無失真響應算法出發(fā),對算法在信源快速抖動的情況下的魯棒性進行了研究。提出了一種聯(lián)合算法,該算法結合了統(tǒng)計模型零陷展寬和最壞情況下的對角加載技術,在目標定位誤差時,提高波束對方位快速變化的信源的魯棒性。針對聯(lián)合算法零陷深度的不足,提出了一種能夠調節(jié)零陷深度的權值求解模型。在該模型下使用零陷展寬技術,通過調整因子的控制,能夠獲得較聯(lián)合算法零陷更深的魯棒波束。最后,通過空時域聯(lián)合處理模型,將計算模型擴展到寬帶模式。通過仿真展示了算法的相關結論,并算法間的性能比較。上述算法的性能依然依賴對目標方向的估計值,但是,在干擾很強的情況下,獲得目標方向的信息是非常困難的。為了解決目標定位對算法性能的影響,提出了一種不需要目標定位信息的空時自適應算法。該算法對目標信號的頻率失真較小,并且能夠保證無法估計目標導向矢量情況下處理系統(tǒng)的性能。而且,在干擾突然增強時,系統(tǒng)的性能也有一定的保障。通過仿真給出了算法的波束結果,并對算法間的性能進行了分析和對比。
[Abstract]:In recent years, with the development of science and technology, the processing of wideband signal is more and more frequent in adaptive array system. Compared with narrowband signal processing, broadband signal processing is more complex. Because wideband signals need to occupy a certain bandwidth, in order to form a consistent beam shape in the whole processing bandwidth. The processing of wideband signals is generally divided into two ways, one is space-time adaptive processing, which adds a time domain processing on the basis of spatial domain. The signal from different azimuth in space is processed in spatial domain and time domain. The other is frequency based parallel processing, which carries out Fourier transform of the input wideband signal and extracts the data of each frequency point of the signal in the frequency domain. Parallel processing of each frequency point. From the array signal processing signal model and processing model, based on narrowband beamforming and wideband beamforming conclusion consistency. Firstly, based on the classical narrowband minimum variance distortionless response algorithm, the robustness of the algorithm in the case of fast source jitter is studied, and a joint algorithm is proposed. The algorithm combines the statistical model zero trapping broadening and the diagonal loading in the worst case to improve the robustness of the beam to the rapidly changing azimuth source when the target location error. This paper presents a weight solution model which can adjust the depth of zero trapping. By adjusting the factor, we can obtain a more robust beam than the joint algorithm by using the technique of zero trapping broadening. The computation model is extended to wideband mode through the joint processing model of space-time domain, and the relevant conclusions of the algorithm are demonstrated by simulation. The performance of the above algorithm still depends on the estimation of the target direction, but in the case of strong interference. It is very difficult to get the target direction information. In order to solve the impact of target location on the performance of the algorithm. This paper presents a space-time adaptive algorithm which does not need target location information. The algorithm has less frequency distortion and can guarantee the performance of the processing system under the condition of target orientation vector can not be estimated. When the interference increases suddenly, the system performance is guaranteed. The simulation results of the algorithm are given, and the performance of the algorithms is analyzed and compared.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN973

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本文編號：1393494